An assessment of Walk-over-Weighing to estimate short-term individual forage intake in sheep.
Identifieur interne : 001218 ( PubMed/Checkpoint ); précédent : 001217; suivant : 001219An assessment of Walk-over-Weighing to estimate short-term individual forage intake in sheep.
Auteurs : E. González-García [France] ; P De Oliveira Golini [Brésil] ; P. Hassoun [France] ; F. Bocquier [France] ; D. Hazard [France] ; L A González [Australie] ; A B Ingham [Australie] ; G J Bishop-Hurley [Australie] ; P L Greenwood [Australie]Source :
- Animal : an international journal of animal bioscience [ 1751-732X ] ; 2017.
Abstract
The main limitation for determining feed efficiency of freely grazing ruminants is measurement of daily individual feed intake. This paper describes an investigation that assessed a method for estimating intake of forage based on changes in BW of ewes. A total of 24 dry and non-pregnant Romane ewes (12 hoggets, HOG; mean±SD 51.8±2.8 kg BW; body condition score (BCS) 2.6±0.2; and 12 adults, ADU; 60.4±8.5 kg BW; BCS 2.7±0.8) were selected for the study and moved from their rangeland system to a confined pen with controlled conditions and equipped with individual automatic feeders. The experiment lasted for 28 days (21 days adaptation and 7 days feed intake measurement). Ewes were fed hay and trained to use the electronic feeders (one feeding station per ewe) in which actual daily intake (H intake24) was measured. The pens were designed to maximize movement of trained ewes through an automated Walk-over-Weighing device, by using water and mineral salts as attractants. Total individual intake of hay measured in the automatic feeder at each meal (H intake) was compared with indirect estimates of feed intake determined using differences in the BW of the ewes (∆BW) before and 1 h following morning and afternoon feeding at fixed times. The BW, BCS, H intake, H intake24, as well as plasma non-esterified fatty acids (NEFA), glucose and insulin profiles were determined. The BW was higher in ADU v. HOG but BCS was not affected by parity. The H intake24 was affected by day of experiment as a consequence of reduced availability and intake of water on one day. Plasma glucose, NEFA and insulin were not affected by parity or day of experiment. The H Intake was and ∆BW tended to be higher in the morning in HOG, whereas H intake was and ∆BW tended to be higher in ADU at the afternoon meal. Irrespective of parity or feeding time, there was very strong correlation (r 2=0.93) between H intake and ∆BW. This relationship confirms that our indirect method of estimating individual forage intake was reliable within the strictly controlled conditions of the present experiment. The method appears suitable for use in short-term intensive group feeding situations, and has potential to be further developed for longer-term forage intake studies, with a view to developing a method for freely grazing ruminants.
DOI: 10.1017/S1751731117002609
PubMed: 29070086
Affiliations:
- Australie, Brésil, France
- Languedoc-Roussillon, Nouvelle-Galles du Sud, Occitanie (région administrative)
- Montpellier, Sydney
- Université de Sydney
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González-García</name><affiliation wicri:level="3"><nlm:affiliation>1INRA UMR868,Systèmes d'Elevage Méditerranées et Tropicaux (SELMET),F-34060 Montpellier,France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>1INRA UMR868,Systèmes d'Elevage Méditerranées et Tropicaux (SELMET),F-34060 Montpellier</wicri:regionArea><placeName><region type="region" nuts="2">Occitanie (région administrative)</region><region type="old region" nuts="2">Languedoc-Roussillon</region><settlement type="city">Montpellier</settlement></placeName></affiliation></author><author><name sortKey="Golini, P De Oliveira" sort="Golini, P De Oliveira" uniqKey="Golini P" first="P De Oliveira" last="Golini">P De Oliveira Golini</name><affiliation wicri:level="1"><nlm:affiliation>2Faculdade de Zootecnia e Engenharia de Alimentos- FZEA/USP,Universidade de São Paulo (USP),Campus da USP Fernando Costa,Pirassununga,São Paulo,SP 13635-900,Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>2Faculdade de Zootecnia e Engenharia de Alimentos- FZEA/USP,Universidade de São Paulo (USP),Campus da USP Fernando Costa,Pirassununga,São Paulo,SP 13635-900</wicri:regionArea><wicri:noRegion>SP 13635-900</wicri:noRegion></affiliation></author><author><name sortKey="Hassoun, P" sort="Hassoun, P" uniqKey="Hassoun P" first="P" last="Hassoun">P. Hassoun</name><affiliation wicri:level="1"><nlm:affiliation>1INRA UMR868,Systèmes d'Elevage Méditerranées et Tropicaux (SELMET),F-34060 Montpellier,France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>1INRA UMR868,Systèmes d'Elevage Méditerranées et Tropicaux (SELMET),F-34060 Montpellier</wicri:regionArea><wicri:noRegion>34060 Montpellier</wicri:noRegion><wicri:noRegion>34060 Montpellier</wicri:noRegion></affiliation></author><author><name sortKey="Bocquier, F" sort="Bocquier, F" uniqKey="Bocquier F" first="F" last="Bocquier">F. Bocquier</name><affiliation wicri:level="1"><nlm:affiliation>1INRA UMR868,Systèmes d'Elevage Méditerranées et Tropicaux (SELMET),F-34060 Montpellier,France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>1INRA UMR868,Systèmes d'Elevage Méditerranées et Tropicaux (SELMET),F-34060 Montpellier</wicri:regionArea><wicri:noRegion>34060 Montpellier</wicri:noRegion><wicri:noRegion>34060 Montpellier</wicri:noRegion></affiliation></author><author><name sortKey="Hazard, D" sort="Hazard, D" uniqKey="Hazard D" first="D" last="Hazard">D. Hazard</name><affiliation wicri:level="1"><nlm:affiliation>4INRA UR631,Génétique, Physiologie et Systèmes d'Elevage (GenPhySE),Chemin de Borde Rouge,Auzeville,F-31326 Castanet-Tolosan Cedex,France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>4INRA UR631,Génétique, Physiologie et Systèmes d'Elevage (GenPhySE),Chemin de Borde Rouge,Auzeville,F-31326 Castanet-Tolosan Cedex</wicri:regionArea><wicri:noRegion>31326 Castanet-Tolosan Cedex</wicri:noRegion><wicri:noRegion>31326 Castanet-Tolosan Cedex</wicri:noRegion></affiliation></author><author><name sortKey="Gonzalez, L A" sort="Gonzalez, L A" uniqKey="Gonzalez L" first="L A" last="González">L A González</name><affiliation wicri:level="4"><nlm:affiliation>5Centre for Carbon Water and Food,School of Life and Environmental Sciences,Faculty of Agriculture and Environment,The University of Sydney,Camden,NSW 2570,Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>5Centre for Carbon Water and Food,School of Life and Environmental Sciences,Faculty of Agriculture and Environment,The University of Sydney,Camden,NSW 2570</wicri:regionArea><orgName type="university">Université de Sydney</orgName><placeName><settlement type="city">Sydney</settlement><region type="état">Nouvelle-Galles du Sud</region></placeName></affiliation></author><author><name sortKey="Ingham, A B" sort="Ingham, A B" uniqKey="Ingham A" first="A B" last="Ingham">A B Ingham</name><affiliation wicri:level="1"><nlm:affiliation>6CSIRO Agriculture and Food,St Lucia,QLD 4067,Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>6CSIRO Agriculture and Food,St Lucia,QLD 4067</wicri:regionArea><wicri:noRegion>QLD 4067</wicri:noRegion></affiliation></author><author><name sortKey="Bishop Hurley, G J" sort="Bishop Hurley, G J" uniqKey="Bishop Hurley G" first="G J" last="Bishop-Hurley">G J Bishop-Hurley</name><affiliation wicri:level="1"><nlm:affiliation>6CSIRO Agriculture and Food,St Lucia,QLD 4067,Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>6CSIRO Agriculture and Food,St Lucia,QLD 4067</wicri:regionArea><wicri:noRegion>QLD 4067</wicri:noRegion></affiliation></author><author><name sortKey="Greenwood, P L" sort="Greenwood, P L" uniqKey="Greenwood P" first="P L" last="Greenwood">P L Greenwood</name><affiliation wicri:level="1"><nlm:affiliation>7NSW Department of Primary Industries,Beef Industry Centre,University of New England,Armidale,NSW 2351,Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>7NSW Department of Primary Industries,Beef Industry Centre,University of New England,Armidale,NSW 2351</wicri:regionArea><wicri:noRegion>NSW 2351</wicri:noRegion></affiliation></author></analytic><series><title level="j">Animal : an international journal of animal bioscience</title><idno type="eISSN">1751-732X</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The main limitation for determining feed efficiency of freely grazing ruminants is measurement of daily individual feed intake. This paper describes an investigation that assessed a method for estimating intake of forage based on changes in BW of ewes. A total of 24 dry and non-pregnant Romane ewes (12 hoggets, HOG; mean±SD 51.8±2.8 kg BW; body condition score (BCS) 2.6±0.2; and 12 adults, ADU; 60.4±8.5 kg BW; BCS 2.7±0.8) were selected for the study and moved from their rangeland system to a confined pen with controlled conditions and equipped with individual automatic feeders. The experiment lasted for 28 days (21 days adaptation and 7 days feed intake measurement). Ewes were fed hay and trained to use the electronic feeders (one feeding station per ewe) in which actual daily intake (H intake24) was measured. The pens were designed to maximize movement of trained ewes through an automated Walk-over-Weighing device, by using water and mineral salts as attractants. Total individual intake of hay measured in the automatic feeder at each meal (H intake) was compared with indirect estimates of feed intake determined using differences in the BW of the ewes (∆BW) before and 1 h following morning and afternoon feeding at fixed times. The BW, BCS, H intake, H intake24, as well as plasma non-esterified fatty acids (NEFA), glucose and insulin profiles were determined. The BW was higher in ADU v. HOG but BCS was not affected by parity. The H intake24 was affected by day of experiment as a consequence of reduced availability and intake of water on one day. Plasma glucose, NEFA and insulin were not affected by parity or day of experiment. The H Intake was and ∆BW tended to be higher in the morning in HOG, whereas H intake was and ∆BW tended to be higher in ADU at the afternoon meal. Irrespective of parity or feeding time, there was very strong correlation (r 2=0.93) between H intake and ∆BW. This relationship confirms that our indirect method of estimating individual forage intake was reliable within the strictly controlled conditions of the present experiment. The method appears suitable for use in short-term intensive group feeding situations, and has potential to be further developed for longer-term forage intake studies, with a view to developing a method for freely grazing ruminants.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">29070086</PMID><DateCreated><Year>2017</Year><Month>10</Month><Day>26</Day></DateCreated><DateRevised><Year>2017</Year><Month>10</Month><Day>26</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1751-732X</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2017</Year><Month>Oct</Month><Day>26</Day></PubDate></JournalIssue><Title>Animal : an international journal of animal bioscience</Title><ISOAbbreviation>Animal</ISOAbbreviation></Journal><ArticleTitle>An assessment of Walk-over-Weighing to estimate short-term individual forage intake in sheep.</ArticleTitle><Pagination><MedlinePgn>1-8</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1017/S1751731117002609</ELocationID><Abstract><AbstractText>The main limitation for determining feed efficiency of freely grazing ruminants is measurement of daily individual feed intake. This paper describes an investigation that assessed a method for estimating intake of forage based on changes in BW of ewes. A total of 24 dry and non-pregnant Romane ewes (12 hoggets, HOG; mean±SD 51.8±2.8 kg BW; body condition score (BCS) 2.6±0.2; and 12 adults, ADU; 60.4±8.5 kg BW; BCS 2.7±0.8) were selected for the study and moved from their rangeland system to a confined pen with controlled conditions and equipped with individual automatic feeders. The experiment lasted for 28 days (21 days adaptation and 7 days feed intake measurement). Ewes were fed hay and trained to use the electronic feeders (one feeding station per ewe) in which actual daily intake (H intake24) was measured. The pens were designed to maximize movement of trained ewes through an automated Walk-over-Weighing device, by using water and mineral salts as attractants. Total individual intake of hay measured in the automatic feeder at each meal (H intake) was compared with indirect estimates of feed intake determined using differences in the BW of the ewes (∆BW) before and 1 h following morning and afternoon feeding at fixed times. The BW, BCS, H intake, H intake24, as well as plasma non-esterified fatty acids (NEFA), glucose and insulin profiles were determined. The BW was higher in ADU v. HOG but BCS was not affected by parity. The H intake24 was affected by day of experiment as a consequence of reduced availability and intake of water on one day. Plasma glucose, NEFA and insulin were not affected by parity or day of experiment. The H Intake was and ∆BW tended to be higher in the morning in HOG, whereas H intake was and ∆BW tended to be higher in ADU at the afternoon meal. Irrespective of parity or feeding time, there was very strong correlation (r 2=0.93) between H intake and ∆BW. This relationship confirms that our indirect method of estimating individual forage intake was reliable within the strictly controlled conditions of the present experiment. The method appears suitable for use in short-term intensive group feeding situations, and has potential to be further developed for longer-term forage intake studies, with a view to developing a method for freely grazing ruminants.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>González-García</LastName><ForeName>E</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>1INRA UMR868,Systèmes d'Elevage Méditerranées et Tropicaux (SELMET),F-34060 Montpellier,France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Golini</LastName><ForeName>P de Oliveira</ForeName><Initials>PO</Initials><AffiliationInfo><Affiliation>2Faculdade de Zootecnia e Engenharia de Alimentos- FZEA/USP,Universidade de São Paulo (USP),Campus da USP Fernando Costa,Pirassununga,São Paulo,SP 13635-900,Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hassoun</LastName><ForeName>P</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>1INRA UMR868,Systèmes d'Elevage Méditerranées et Tropicaux (SELMET),F-34060 Montpellier,France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bocquier</LastName><ForeName>F</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>1INRA UMR868,Systèmes d'Elevage Méditerranées et Tropicaux (SELMET),F-34060 Montpellier,France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hazard</LastName><ForeName>D</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>4INRA UR631,Génétique, Physiologie et Systèmes d'Elevage (GenPhySE),Chemin de Borde Rouge,Auzeville,F-31326 Castanet-Tolosan Cedex,France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>González</LastName><ForeName>L A</ForeName><Initials>LA</Initials><AffiliationInfo><Affiliation>5Centre for Carbon Water and Food,School of Life and Environmental Sciences,Faculty of Agriculture and Environment,The University of Sydney,Camden,NSW 2570,Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ingham</LastName><ForeName>A B</ForeName><Initials>AB</Initials><AffiliationInfo><Affiliation>6CSIRO Agriculture and Food,St Lucia,QLD 4067,Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bishop-Hurley</LastName><ForeName>G J</ForeName><Initials>GJ</Initials><AffiliationInfo><Affiliation>6CSIRO Agriculture and Food,St Lucia,QLD 4067,Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Greenwood</LastName><ForeName>P L</ForeName><Initials>PL</Initials><AffiliationInfo><Affiliation>7NSW Department of Primary Industries,Beef Industry Centre,University of New England,Armidale,NSW 2351,Australia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>10</Month><Day>26</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Animal</MedlineTA><NlmUniqueID>101303270</NlmUniqueID><ISSNLinking>1751-7311</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">body weight variation</Keyword><Keyword MajorTopicYN="N">forage intake</Keyword><Keyword MajorTopicYN="N">methods</Keyword><Keyword MajorTopicYN="N">ruminants</Keyword><Keyword MajorTopicYN="N">sheep</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>10</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>10</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>10</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29070086</ArticleId><ArticleId IdType="pii">S1751731117002609</ArticleId><ArticleId IdType="doi">10.1017/S1751731117002609</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Australie</li><li>Brésil</li><li>France</li></country><region><li>Languedoc-Roussillon</li><li>Nouvelle-Galles du Sud</li><li>Occitanie (région administrative)</li></region><settlement><li>Montpellier</li><li>Sydney</li></settlement><orgName><li>Université de Sydney</li></orgName></list><tree><country name="France"><region name="Occitanie (région administrative)"><name sortKey="Gonzalez Garcia, E" sort="Gonzalez Garcia, E" uniqKey="Gonzalez Garcia E" first="E" last="González-García">E. González-García</name></region><name sortKey="Bocquier, F" sort="Bocquier, F" uniqKey="Bocquier F" first="F" last="Bocquier">F. Bocquier</name><name sortKey="Hassoun, P" sort="Hassoun, P" uniqKey="Hassoun P" first="P" last="Hassoun">P. Hassoun</name><name sortKey="Hazard, D" sort="Hazard, D" uniqKey="Hazard D" first="D" last="Hazard">D. Hazard</name></country><country name="Brésil"><noRegion><name sortKey="Golini, P De Oliveira" sort="Golini, P De Oliveira" uniqKey="Golini P" first="P De Oliveira" last="Golini">P De Oliveira Golini</name></noRegion></country><country name="Australie"><region name="Nouvelle-Galles du Sud"><name sortKey="Gonzalez, L A" sort="Gonzalez, L A" uniqKey="Gonzalez L" first="L A" last="González">L A González</name></region><name sortKey="Bishop Hurley, G J" sort="Bishop Hurley, G J" uniqKey="Bishop Hurley G" first="G J" last="Bishop-Hurley">G J Bishop-Hurley</name><name sortKey="Greenwood, P L" sort="Greenwood, P L" uniqKey="Greenwood P" first="P L" last="Greenwood">P L Greenwood</name><name sortKey="Ingham, A B" sort="Ingham, A B" uniqKey="Ingham A" first="A B" last="Ingham">A B Ingham</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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